fpAnova: Function to perform ANOVA on fp objects

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

This function computes Bayes Factors and p-values for within-subjects ANOVA designs, encoded as fp objects.

Usage

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fpAnova(object, stat = "BF", na.rm = TRUE)

Arguments

object

a list of objects from class fp1.

stat

Either "BF" (default), "p", or "both", specificying what statistic to report.

na.rm

Are NAs removed?

Details

The function expects the output of fpGet, but in a list.

Value

A list containing the results of either the Bayesian or frequentist analysis, or both:

BF

The output of anovaBF

p

The output of summary.aov

Author(s)

Leendert van Maanen (l.vanmaanen@uva.nl)

References

Van Maanen, L. & Van Rijn, H (submitted). The fixed-point property in concurrent processing. Manuscript submitted for publication

See Also

fpGet, anovaBF, summary.aov.

Examples

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## generate data
p <- c(.1,.5,.9)
rt <- sapply(1:3, function(i) {rnormMix(10000, c(1,2), c(1,1), p[i])})
dat <- data.frame(rt=c(rt), cond=rep(1:3, each=10000), pp=rep(1:50, each=200, times=3))

## compute the list of fp1 objects
res <- tapply(1:nrow(dat), dat$pp, function(X) {fpGet(dat[X,], 1000, bw=.75)})

## call fpAnova, with stat="both" to do both a Bayesian and a frequentist test
fpAnova(res, stat="both")

JimGrange/Van-Maanen-fp documentation built on May 7, 2019, 10:51 a.m.